419130
2
Joaquin Vanschoren
4238
Supervised Classification
predictive_accuracy
1192
weka.MultiBoostAB_DecisionStump(3)
2048
weka.classifiers.meta.MultiBoostAB -- -C 3 -P 100 -S 1 -I 40 -W weka.classifiers.trees.DecisionStump
C
3
1192
P
100
1192
S
1
1192
I
40
1192
W
weka.classifiers.trees.DecisionStump
1192
weka
weka_3.7.12
398
wap.wc
https://www.openml.org/data/download/52510/wap.wc.arff
-1
1463860
description
https://api.openml.org/data/download/1463860/weka_generated_run382733864793424518.xml
-1
1463863
model_readable
https://api.openml.org/data/download/1463863/WekaModel_weka.classifiers.meta.MultiBoostAB2071997409621235629.model
-1
1463862
model_serialized
https://api.openml.org/data/download/1463862/WekaSerialized_weka.classifiers.meta.MultiBoostAB4145667643979718204.model
-1
1463861
predictions
https://api.openml.org/data/download/1463861/weka_generated_predictions1252084288022037304.arff
area_under_roc_curve
0.630885 [0.502711,0.557221,0.577485,0.521397,0.384121,0.602336,0.844527,0.540361,0.515558,0.56097,0.570742,0.525272,0.575493,0.576273,0.570718,0.589426,0.49896,0.574822,0.589571,0.551204]
average_cost
0
f_measure
0.202375 [0,0,0,0,0,0.266948,0.772383,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.167426
kb_relative_information_score
2097.626956
mean_absolute_error
0.079467
mean_prior_absolute_error
0.089924
number_of_instances
15600 [150,760,330,540,50,1960,3410,440,180,110,910,400,1680,650,910,970,130,370,1300,350]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.190441 [0,0,0,0,0,0.154786,0.782256,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.288526
prior_entropy
3.738083
recall
0.288526 [0,0,0,0,0,0.969388,0.762757,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.883707
root_mean_prior_squared_error
0.211967
root_mean_squared_error
0.199435
root_relative_squared_error
0.940881
scimark_benchmark
941.954922 [559.2307353210181, 1014.1868590421574, 482.14720472367435, 907.7008274280431, 1746.5089819330503]
total_cost
0
usercpu_time_millis
8140
usercpu_time_millis_testing
0
usercpu_time_millis_training
8140
area_under_roc_curve
0.646089 [0.583871,0.587248,0.585526,0.586093,0.583871,0.595588,0.863549,0.586093,0.583871,0.583871,0.589041,0.585526,0.592857,0.587248,0.588435,0.589041,0.583871,0.585526,0.590909,0.415033]
area_under_roc_curve
0.629927 [0.600649,0.60473,0.601307,0.602649,0.0,0.613139,0.813932,0.473684,0.600649,0.6,0.546485,0.345395,0.610714,0.603333,0.55274,0.606164,0.6,0.601974,0.608392,0.345395]
area_under_roc_curve
0.651517 [0.603896,0.608108,0.605263,0.399338,0.0,0.616788,0.876567,0.60596,0.603896,0.603226,0.549887,0.605263,0.614286,0.607383,0.556164,0.609589,0.603226,0.604575,0.611888,0.434641]
area_under_roc_curve
0.64147 [0.594156,0.532095,0.595395,0.492715,0.593548,0.606618,0.851254,0.595395,0.593548,0.593548,0.598639,0.467105,0.604317,0.596667,0.54589,0.599315,0.593548,0.594771,0.601399,0.594771]
area_under_roc_curve
0.645669 [0.584416,0.587248,0.584967,0.586093,0.583871,0.594891,0.863549,0.586093,0.583871,0.583871,0.589041,0.585526,0.560516,0.587248,0.588435,0.588435,0.583871,0.585526,0.590909,0.585526]
area_under_roc_curve
0.64127 [0.594156,0.597973,0.594771,0.596026,0.0,0.606618,0.851254,0.596026,0.593548,0.593548,0.598639,0.467105,0.56875,0.597315,0.539683,0.599315,0.090323,0.595395,0.601399,0.595395]
area_under_roc_curve
0.651185 [0.603896,0.608108,0.605263,0.60596,0.0,0.588971,0.876567,0.605263,0.603226,0.603226,0.549887,0.348684,0.579464,0.607383,0.609589,0.609589,0.603226,0.604575,0.611888,0.605263]
area_under_roc_curve
0.641072 [0.594156,0.532095,0.594771,0.492715,0.0,0.606618,0.851254,0.595395,0.594156,0.593548,0.598639,0.595395,0.571308,0.597315,0.598639,0.599315,0.593548,0.594771,0.559441,0.595395]
area_under_roc_curve
0.663645 [0.609677,0.548986,0.611111,0.612583,0.0,0.625,0.905979,0.611842,0.61039,0.609677,0.616438,0.611842,0.622302,0.614094,0.497732,0.616438,0.609677,0.611842,0.618881,0.271242]
area_under_roc_curve
0.668923 [0.612903,0.552365,0.614379,0.616667,0.0,0.627737,0.920685,0.615132,0.613636,0.612903,0.619048,0.486842,0.59289,0.616667,0.501134,0.619863,0.613636,0.615132,0.622378,0.615132]
area_under_roc_curve
0.660498 [0.612903,0.618243,0.615132,0.615894,0.0,0.628676,0.889492,0.486842,0.613636,0.612903,0.619048,0.486842,0.555357,0.61745,0.619048,0.619863,0.612903,0.614379,0.58042,0.486842]
area_under_roc_curve
0.637307 [0.587097,0.591216,0.588235,0.589404,0.587097,0.599265,0.840646,0.588816,0.334416,0.587097,0.592466,0.588816,0.597122,0.503333,0.591837,0.591837,0.083871,0.588816,0.594406,0.588816]
area_under_roc_curve
0.632541 [0.580645,0.518581,0.581699,0.582781,0.0,0.591241,0.830039,0.582237,0.581169,0.581169,0.585616,0.582237,0.589928,0.583333,0.526077,0.585616,0.580645,0.582237,0.587413,0.582237]
area_under_roc_curve
0.628386 [0.587662,0.591216,0.588235,0.589404,0.0,0.570588,0.812043,0.588816,0.587097,0.587662,0.591837,0.588816,0.564113,0.590604,0.53288,0.592466,0.587097,0.588235,0.594406,0.418301]
area_under_roc_curve
0.651129 [0.603226,0.607383,0.604575,0.60596,0.603226,0.617647,0.876567,0.60596,0.350649,0.603226,0.608844,0.605263,0.516081,0.607383,0.608844,0.609589,0.603226,0.605263,0.611888,0.434641]
area_under_roc_curve
0.678184 [0.61039,0.614094,0.611111,0.612583,0.0,0.596324,0.943587,0.483553,0.61039,0.609677,0.615646,0.483553,0.622302,0.614094,0.615646,0.616438,0.609677,0.611842,0.618881,0.611842]
area_under_roc_curve
0.640135 [0.581169,0.584459,0.582237,0.582781,0.0,0.591912,0.848843,0.47947,0.580645,0.580645,0.585034,0.582237,0.589286,0.583893,0.585034,0.585616,0.580645,0.581699,0.587413,0.582237]
area_under_roc_curve
0.636946 [0.334416,0.591216,0.588235,0.589404,0.0,0.570588,0.840646,0.588816,0.587097,0.587097,0.591837,0.588816,0.597122,0.590604,0.591837,0.592466,0.587097,0.588816,0.594406,0.460526]
area_under_roc_curve
0.61792 [0.580645,0.584459,0.582237,0.47947,0.0,0.591912,0.79243,0.47947,0.581169,0.580645,0.585034,0.453947,0.589928,0.583333,0.526077,0.585616,0.580645,0.582237,0.587413,0.581699]
area_under_roc_curve
0.628453 [0.321429,0.577703,0.575163,0.576667,0.0,0.584559,0.819431,0.575658,0.574675,0.574194,0.578231,0.575658,0.582734,0.576667,0.578231,0.578767,0.574675,0.575163,0.58042,0.575163]
area_under_roc_curve
0.647511 [0.596774,0.601351,0.598039,0.496026,0.0,0.610294,0.865959,0.598684,0.344156,0.597403,0.602041,0.598684,0.607914,0.6,0.543084,0.60274,0.344156,0.598039,0.604895,0.598684]
area_under_roc_curve
0.656159 [0.593548,0.597973,0.595395,0.492715,0.593548,0.606618,0.888862,0.595395,0.594156,0.593548,0.598639,0.595395,0.604317,0.596667,0.598639,0.598639,0.593548,0.595395,0.559441,0.595395]
area_under_roc_curve
0.632147 [0.596774,0.535473,0.598039,0.496026,0.0,0.581618,0.828351,0.598684,0.597403,0.596774,0.602041,0.470395,0.607914,0.513333,0.543084,0.60274,0.597403,0.598684,0.604895,0.598684]
area_under_roc_curve
0.605439 [0.087097,0.594595,0.591503,0.489404,0.0,0.574265,0.761331,0.463816,0.337662,0.590323,0.595238,0.463816,0.567711,0.59396,0.595238,0.59589,0.590323,0.592105,0.555944,0.592105]
area_under_roc_curve
0.626336 [0.090323,0.597315,0.594771,0.492715,0.593548,0.577941,0.813645,0.596026,0.594156,0.593548,0.598639,0.338816,0.604317,0.597315,0.598639,0.599315,0.593548,0.595395,0.559441,0.594771]
area_under_roc_curve
0.648707 [0.340909,0.597315,0.595395,0.51,0.0,0.606618,0.870058,0.595395,0.594156,0.593548,0.598639,0.595395,0.571308,0.597315,0.598639,0.598639,0.593548,0.595395,0.601399,0.594771]
area_under_roc_curve
0.678091 [0.61039,0.614865,0.611111,0.509272,0.0,0.624088,0.943587,0.612583,0.357143,0.609677,0.615646,0.611842,0.589293,0.614094,0.615646,0.615646,0.609677,0.611842,0.618881,0.611842]
area_under_roc_curve
0.64157 [0.594156,0.597973,0.594771,0.596667,0.0,0.606618,0.851254,0.595395,0.593548,0.593548,0.598639,0.467105,0.604317,0.597315,0.480726,0.599315,0.090323,0.595395,0.601399,0.594771]
area_under_roc_curve
0.665149 [0.619355,0.625,0.621711,0.622517,0.0,0.578676,0.912488,0.622517,0.62013,0.619355,0.566893,0.621711,0.600085,0.623333,0.507937,0.626712,0.619355,0.621711,0.587413,0.620915]
area_under_roc_curve
0.637652 [0.600649,0.60473,0.601974,0.499338,0.0,0.585294,0.843057,0.601974,0.600649,0.6,0.546485,0.473684,0.578502,0.603333,0.605442,0.606164,0.600649,0.601307,0.566434,0.601307]
area_under_roc_curve
0.640144 [0.580645,0.518581,0.581699,0.583333,0.0,0.591912,0.848843,0.582237,0.581169,0.580645,0.585034,0.582237,0.589928,0.583333,0.585616,0.585034,0.581169,0.581699,0.587413,0.582237]
area_under_roc_curve
0.6687 [0.612903,0.542665,0.615132,0.53,0.612903,0.6,0.920685,0.615132,0.613636,0.612903,0.619048,0.615132,0.59289,0.616667,0.560091,0.619048,0.612903,0.615132,0.622378,0.615132]
area_under_roc_curve
0.64864 [0.593548,0.597973,0.594771,0.596026,0.0,0.606618,0.870058,0.467105,0.594156,0.593548,0.598639,0.595395,0.571308,0.596667,0.539683,0.599315,0.594156,0.595395,0.601399,0.595395]
area_under_roc_curve
0.669671 [0.596774,0.601351,0.598039,0.599338,0.0,0.610294,0.922372,0.598684,0.597403,0.596774,0.602041,0.598684,0.607914,0.600671,0.543084,0.60274,0.596774,0.598684,0.604895,0.598684]
area_under_roc_curve
0.657082 [0.606452,0.545608,0.608553,0.609272,0.0,0.592647,0.891273,0.608553,0.607143,0.606452,0.612245,0.608553,0.585696,0.61,0.559589,0.613014,0.606452,0.608553,0.615385,0.437908]
area_under_roc_curve
0.645308 [0.584416,0.587248,0.585526,0.5,0.0,0.594891,0.853011,0.585526,0.584416,0.583871,0.588435,0.585526,0.593525,0.587248,0.588435,0.588435,0.583871,0.585526,0.590909,0.584967]
area_under_roc_curve
0.637516 [0.347403,0.60473,0.601307,0.602649,0.0,0.613139,0.843057,0.602649,0.600649,0.6,0.605442,0.601974,0.545493,0.604027,0.487528,0.605442,0.6,0.601974,0.566434,0.601974]
area_under_roc_curve
0.652542 [0.600649,0.529243,0.601974,0.603333,0.0,0.585294,0.880665,0.602649,0.600649,0.6,0.605442,0.601974,0.578502,0.603333,0.546485,0.605442,0.6,0.601974,0.608392,0.601307]
area_under_roc_curve
0.642808 [0.590909,0.594595,0.592105,0.592715,0.0,0.602941,0.855352,0.592715,0.590909,0.590323,0.536281,0.592105,0.567711,0.593333,0.595238,0.59589,0.087097,0.591503,0.597902,0.591503]
area_under_roc_curve
0.627743 [0.590909,0.594595,0.592105,0.592715,0.0,0.602941,0.817743,0.592105,0.590909,0.590323,0.595238,0.463816,0.534702,0.593333,0.542466,0.59589,0.087097,0.591503,0.597902,0.591503]
area_under_roc_curve
0.615989 [0.583871,0.587838,0.584967,0.413333,0.0,0.595588,0.788332,0.585526,0.584416,0.583871,0.588435,0.585526,0.560516,0.5,0.529478,0.588435,0.584416,0.585526,0.590909,0.585526]
area_under_roc_curve
0.663432 [0.593548,0.597315,0.595395,0.596667,0.593548,0.577941,0.907666,0.596026,0.594156,0.593548,0.598639,0.595395,0.604317,0.596667,0.598639,0.599315,0.593548,0.594771,0.601399,0.594771]
area_under_roc_curve
0.663818 [0.593548,0.597315,0.594771,0.596667,0.0,0.606618,0.907666,0.595395,0.594156,0.593548,0.598639,0.595395,0.604317,0.596667,0.598639,0.599315,0.594156,0.595395,0.601399,0.467105]
area_under_roc_curve
0.654597 [0.596774,0.535473,0.598039,0.6,0.0,0.609489,0.884764,0.598684,0.597403,0.596774,0.602041,0.598684,0.607914,0.525887,0.543084,0.60274,0.596774,0.598684,0.604895,0.598684]
area_under_roc_curve
0.62967 [0.587097,0.591216,0.588816,0.59,0.0,0.599265,0.821842,0.460526,0.587662,0.587097,0.53288,0.460526,0.597122,0.59,0.53288,0.592466,0.587097,0.588816,0.594406,0.588235]
area_under_roc_curve
0.644322 [0.587097,0.590604,0.588816,0.59,0.587097,0.59854,0.85945,0.460526,0.587662,0.587097,0.539041,0.588816,0.597122,0.59,0.591837,0.591837,0.587662,0.588816,0.594406,0.588235]
area_under_roc_curve
0.646169 [0.691558,0.435811,0.477124,0.488742,0.0,0.764118,0.722999,0.488742,0.438312,0.690323,0.582766,0.694079,0.580195,0.623202,0.829932,0.582766,0.309677,0.690789,0.587413,0.819079]
area_under_roc_curve
0.650967 [0.603896,0.607383,0.605263,0.606667,0.0,0.588971,0.876567,0.60596,0.603896,0.603226,0.49093,0.605263,0.582099,0.52,0.608844,0.608844,0.603226,0.605263,0.611888,0.604575]
area_under_roc_curve
0.637036 [0.587662,0.525338,0.588235,0.486093,0.0,0.599265,0.840646,0.589404,0.587097,0.587662,0.591837,0.588816,0.597122,0.59,0.53288,0.592466,0.587097,0.588235,0.594406,0.588816]
area_under_roc_curve
0.617136 [0.457792,0.521959,0.542763,0.611921,0.0,0.6625,0.766393,0.200658,0.709677,0.457792,0.544218,0.585526,0.53576,0.543333,0.750567,0.455479,0.793548,0.414474,0.65035,0.797386]
area_under_roc_curve
0.654531 [0.597403,0.535473,0.598039,0.6,0.0,0.610294,0.884764,0.598684,0.597403,0.596774,0.602041,0.470395,0.574905,0.6,0.602041,0.602041,0.596774,0.598684,0.604895,0.598684]
area_under_roc_curve
0.663044 [0.609677,0.614094,0.611111,0.526667,0.609677,0.625,0.905979,0.612583,0.61039,0.609677,0.615646,0.483553,0.556284,0.614094,0.556689,0.616438,0.609677,0.611111,0.618881,0.611111]
area_under_roc_curve
0.629341 [0.587097,0.590604,0.588235,0.59,0.587097,0.570588,0.821842,0.588816,0.587662,0.587097,0.591837,0.332237,0.597122,0.59,0.53288,0.592466,0.587097,0.588816,0.594406,0.588816]
area_under_roc_curve
0.654324 [0.596774,0.600671,0.598039,0.513333,0.0,0.609489,0.884764,0.598684,0.597403,0.596774,0.60274,0.598684,0.574905,0.600671,0.602041,0.60274,0.596774,0.598684,0.562937,0.598684]
area_under_roc_curve
0.654753 [0.596774,0.535473,0.598684,0.513333,0.0,0.610294,0.884764,0.598684,0.597403,0.596774,0.543084,0.598684,0.607914,0.6,0.602041,0.60274,0.596774,0.598684,0.604895,0.598039]
area_under_roc_curve
0.645514 [0.6,0.60473,0.601307,0.43,0.6,0.583173,0.861861,0.601974,0.347403,0.6,0.605442,0.473684,0.611511,0.603333,0.605442,0.606164,0.600649,0.601974,0.608392,0.601307]
area_under_roc_curve
0.636296 [0.587097,0.590604,0.588235,0.59,0.587097,0.59854,0.83046,0.588816,0.587662,0.587097,0.591837,0.460526,0.597122,0.59,0.53288,0.592466,0.587662,0.588816,0.594406,0.418301]
area_under_roc_curve
0.64123 [0.593548,0.597315,0.595395,0.51,0.593548,0.606618,0.851254,0.492715,0.594156,0.593548,0.598639,0.467105,0.571308,0.596667,0.598639,0.598639,0.593548,0.595395,0.601399,0.594771]
area_under_roc_curve
0.627783 [0.337662,0.528716,0.591503,0.592715,0.590323,0.574265,0.817743,0.592105,0.590323,0.590323,0.595238,0.463816,0.600719,0.593333,0.59589,0.59589,0.590323,0.591503,0.555944,0.592105]
area_under_roc_curve
0.635648 [0.590909,0.528716,0.591503,0.592715,0.590323,0.602941,0.836548,0.463816,0.087097,0.590323,0.595238,0.592105,0.600719,0.59396,0.536281,0.59589,0.590323,0.592105,0.597902,0.591503]
area_under_roc_curve
0.661712 [0.597403,0.601351,0.598039,0.6,0.596774,0.579524,0.903568,0.598684,0.597403,0.596774,0.602041,0.598684,0.607914,0.6,0.543084,0.60274,0.596774,0.598684,0.604895,0.598039]
area_under_roc_curve
0.627855 [0.590909,0.519175,0.591503,0.506667,0.0,0.602941,0.817743,0.592715,0.590323,0.590323,0.536281,0.592105,0.600719,0.59396,0.536281,0.59589,0.590909,0.591503,0.555944,0.591503]
area_under_roc_curve
0.673227 [0.62013,0.624161,0.620915,0.536667,0.619355,0.636029,0.931292,0.621711,0.619355,0.619355,0.62585,0.493421,0.534067,0.624161,0.62585,0.626712,0.116129,0.621711,0.629371,0.620915]
area_under_roc_curve
0.629277 [0.587097,0.51582,0.588235,0.59,0.587097,0.568575,0.821842,0.589404,0.587662,0.587097,0.591837,0.460526,0.597122,0.59,0.591837,0.592466,0.587097,0.588816,0.594406,0.460526]
area_under_roc_curve
0.643525 [0.603896,0.54223,0.604575,0.606667,0.0,0.588971,0.857763,0.605263,0.603896,0.603896,0.608844,0.605263,0.614286,0.52,0.49093,0.609589,0.603226,0.604575,0.56993,0.605263]
area_under_roc_curve
0.630223 [0.6,0.60473,0.601307,0.602649,0.6,0.613139,0.824253,0.601974,0.600649,0.6,0.605442,0.601974,0.545493,0.516667,0.55274,0.606164,0.600649,0.601974,0.566434,0.261438]
area_under_roc_curve
0.641319 [0.593548,0.597315,0.594771,0.423333,0.593548,0.606618,0.851254,0.595395,0.594156,0.593548,0.539683,0.595395,0.604317,0.596667,0.539683,0.599315,0.594156,0.595395,0.601399,0.594771]
area_under_roc_curve
0.645964 [0.583871,0.587248,0.584967,0.482781,0.583871,0.594891,0.863549,0.586093,0.584416,0.583871,0.589041,0.585526,0.593525,0.586667,0.588435,0.589041,0.584416,0.585526,0.590909,0.584967]
area_under_roc_curve
0.653187 [0.584416,0.587248,0.584967,0.586667,0.583871,0.594891,0.882353,0.585526,0.584416,0.583871,0.588435,0.585526,0.592857,0.587248,0.588435,0.588435,0.584416,0.585526,0.590909,0.585526]
area_under_roc_curve
0.663148 [0.609677,0.614094,0.611111,0.612583,0.609677,0.596324,0.905979,0.509272,0.61039,0.609677,0.556689,0.611842,0.622302,0.53931,0.615646,0.615646,0.609677,0.611842,0.618881,0.483553]
area_under_roc_curve
0.641206 [0.340909,0.597315,0.594771,0.492715,0.593548,0.605839,0.851254,0.596026,0.594156,0.593548,0.598639,0.467105,0.571308,0.597315,0.598639,0.599315,0.593548,0.595395,0.601399,0.594771]
area_under_roc_curve
0.632366 [0.581169,0.584459,0.581699,0.582781,0.0,0.561275,0.830039,0.582781,0.580645,0.580645,0.585034,0.453947,0.589928,0.583893,0.585034,0.585616,0.581169,0.582237,0.587413,0.581699]
area_under_roc_curve
0.645776 [0.584416,0.587248,0.584967,0.586667,0.583871,0.595588,0.863549,0.586093,0.583871,0.583871,0.588435,0.585526,0.560516,0.587248,0.588435,0.588435,0.583871,0.585526,0.590909,0.584967]
area_under_roc_curve
0.655541 [0.61039,0.614094,0.611111,0.44,0.609677,0.624088,0.887175,0.612583,0.61039,0.609677,0.615646,0.611842,0.589293,0.613333,0.497732,0.615646,0.357143,0.611842,0.618881,0.611111]
area_under_roc_curve
0.646243 [0.597403,0.601351,0.598039,0.513333,0.0,0.609489,0.8549,0.598684,0.597403,0.596774,0.602041,0.470395,0.607143,0.6,0.484127,0.60274,0.597403,0.598039,0.604895,0.598684]
area_under_roc_curve
0.641823 [0.606452,0.47973,0.607843,0.609272,0.606452,0.592647,0.853664,0.609272,0.607143,0.606452,0.553288,0.608553,0.585696,0.61,0.553288,0.613014,0.606452,0.607843,0.573427,0.608553]
area_under_roc_curve
0.614663 [0.587097,0.51582,0.588235,0.503333,0.587097,0.599265,0.784233,0.588816,0.587662,0.587097,0.591837,0.460526,0.597122,0.59,0.53288,0.592466,0.334416,0.588816,0.552448,0.588235]
area_under_roc_curve
0.641955 [0.590323,0.594595,0.591503,0.592715,0.590323,0.60219,0.844746,0.463816,0.590909,0.590323,0.595238,0.592105,0.6,0.593333,0.595238,0.59589,0.590909,0.592105,0.555944,0.463816]
area_under_roc_curve
0.633121 [0.594156,0.597315,0.594771,0.596667,0.593548,0.605839,0.832449,0.595395,0.340909,0.593548,0.598639,0.467105,0.499107,0.597315,0.598639,0.598639,0.594156,0.595395,0.601399,0.595395]
area_under_roc_curve
0.637348 [0.583871,0.587248,0.584967,0.586093,0.583871,0.564925,0.834593,0.586093,0.584416,0.583871,0.588435,0.585526,0.593525,0.587248,0.588435,0.588435,0.583871,0.585526,0.548951,0.585526]
area_under_roc_curve
0.655468 [0.61039,0.614094,0.611111,0.509272,0.609677,0.594122,0.887175,0.509272,0.61039,0.609677,0.556689,0.611842,0.622302,0.614094,0.497732,0.616438,0.609677,0.611842,0.618881,0.611111]
area_under_roc_curve
0.635162 [0.337662,0.528716,0.591503,0.592715,0.0,0.60219,0.836548,0.592105,0.590909,0.590323,0.595238,0.592105,0.567711,0.59396,0.536281,0.59589,0.590909,0.592105,0.597902,0.591503]
area_under_roc_curve
0.626015 [0.594156,0.532095,0.595395,0.596026,0.593548,0.605839,0.813645,0.596026,0.340909,0.593548,0.539683,0.595395,0.604317,0.597315,0.539683,0.598639,0.593548,0.594771,0.517483,0.594771]
area_under_roc_curve
0.644022 [0.587662,0.590604,0.588816,0.589404,0.587097,0.599265,0.85945,0.589404,0.587662,0.587097,0.53288,0.588816,0.561607,0.59,0.591837,0.591837,0.587662,0.588816,0.594406,0.588235]
area_under_roc_curve
0.641519 [0.577922,0.581081,0.578431,0.57947,0.577419,0.587591,0.852941,0.578947,0.577922,0.577419,0.581633,0.578947,0.586331,0.580537,0.581633,0.581633,0.577922,0.578431,0.583916,0.578947]
area_under_roc_curve
0.644439 [0.587097,0.525338,0.588235,0.589404,0.587097,0.599265,0.85945,0.589404,0.587662,0.587097,0.591837,0.588816,0.597122,0.59,0.53288,0.592466,0.587097,0.588235,0.594406,0.588816]
area_under_roc_curve
0.651476 [0.603226,0.532598,0.604575,0.606667,0.603226,0.588971,0.876567,0.476974,0.603896,0.603896,0.608844,0.605263,0.615108,0.52,0.608844,0.609589,0.603226,0.605263,0.611888,0.434641]
area_under_roc_curve
0.638128 [0.6,0.538851,0.601307,0.499338,0.6,0.613139,0.843057,0.601974,0.347403,0.6,0.605442,0.473684,0.610714,0.604027,0.499315,0.606164,0.600649,0.601307,0.608392,0.601974]
area_under_roc_curve
0.629978 [0.687097,0.470278,0.820261,0.52,0.312903,0.767768,0.737705,0.434211,0.435065,0.687097,0.461451,0.690789,0.609606,0.694631,0.833333,0.402494,0.818182,0.4375,0.423077,0.822368]
area_under_roc_curve
0.623349 [0.583871,0.587248,0.584967,0.413333,0.583871,0.594891,0.807136,0.586093,0.584416,0.583871,0.589041,0.457237,0.558036,0.587248,0.588435,0.588435,0.583871,0.585526,0.590909,0.585526]
area_under_roc_curve
0.631775 [0.597403,0.525887,0.598684,0.599338,0.596774,0.579524,0.828351,0.599338,0.596774,0.596774,0.543084,0.470395,0.607914,0.600671,0.543084,0.60274,0.596774,0.598684,0.562937,0.598039]
area_under_roc_curve
0.640989 [0.594156,0.597973,0.594771,0.492715,0.0,0.605839,0.851254,0.467105,0.594156,0.594156,0.598639,0.595395,0.56875,0.597315,0.539683,0.599315,0.593548,0.595395,0.601399,0.595395]
area_under_roc_curve
0.637394 [0.707792,0.518581,0.674342,0.711921,0.203226,0.655974,0.727627,0.401987,0.454545,0.203226,0.481859,0.582237,0.589286,0.714765,0.753968,0.481859,0.796774,0.630719,0.695804,0.800654]
area_under_roc_curve
0.67231 [0.607143,0.611486,0.608553,0.609272,0.606452,0.621324,0.928881,0.50596,0.607143,0.606452,0.553288,0.480263,0.617857,0.61,0.612245,0.612245,0.607143,0.607843,0.615385,0.607843]
area_under_roc_curve
0.628762 [0.698052,0.480345,0.640523,0.598675,0.303226,0.666923,0.75,0.401325,0.696774,0.696774,0.530612,0.700658,0.455353,0.704698,0.764172,0.412698,0.808442,0.684211,0.622378,0.8125]
area_under_roc_curve
0.635437 [0.590909,0.594595,0.591503,0.489404,0.0,0.602941,0.836548,0.592715,0.590323,0.590909,0.595238,0.463816,0.6,0.59396,0.477324,0.59589,0.590323,0.591503,0.597902,0.592105]
area_under_roc_curve
0.635005 [0.590323,0.528716,0.592105,0.489404,0.590323,0.574265,0.836548,0.592105,0.590909,0.590323,0.59589,0.592105,0.567711,0.593333,0.595238,0.59589,0.590323,0.591503,0.597902,0.591503]
area_under_roc_curve
0.620412 [0.709677,0.390203,0.627451,0.508609,0.290323,0.622359,0.766393,0.457237,0.288961,0.457792,0.603175,0.713816,0.568769,0.568552,0.809524,0.34863,0.793548,0.627451,0.65035,0.799342]
area_under_roc_curve
0.653947 [0.596774,0.600671,0.598039,0.513333,0.596774,0.609489,0.873318,0.470395,0.597403,0.596774,0.602041,0.598684,0.607914,0.525887,0.602041,0.60274,0.596774,0.598684,0.604895,0.598039]
area_under_roc_curve
0.658889 [0.603226,0.607383,0.604575,0.433333,0.603226,0.616788,0.895371,0.60596,0.603896,0.603226,0.608844,0.605263,0.614286,0.607383,0.549887,0.609589,0.603226,0.605263,0.611888,0.476974]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.215812 [0,0,0,0,0,0.266667,0.833333,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.19531 [0,0,0,0,0,0.263889,0.727273,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.210687 [0,0,0,0,0,0.265734,0.818182,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.207861 [0,0,0,0,0,0.272109,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.212686 [0,0,0,0,0,0.255034,0.833333,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.207861 [0,0,0,0,0,0.272109,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.212154 [0,0,0,0,0,0.263889,0.818182,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.207861 [0,0,0,0,0,0.272109,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.222012 [0,0,0,0,0,0.28169,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.222579 [0,0,0,0,0,0.271429,0.869565,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.222268 [0,0,0,0,0,0.283688,0.828571,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.205918 [0,0,0,0,0,0.268456,0.786885,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.200781 [0,0,0,0,0,0.253333,0.779661,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.199156 [0,0,0,0,0,0.255034,0.741935,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.213934 [0,0,0,0,0,0.277778,0.818182,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.233026 [0,0,0,0,0,0.267606,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.211276 [0,0,0,0,0,0.264901,0.813559,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.204197 [0,0,0,0,0,0.255034,0.786885,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.189112 [0,0,0,0,0,0.264901,0.711864,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.201759 [0,0,0,0,0,0.261438,0.77193,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.212208 [0,0,0,0,0,0.273973,0.8125,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.221699 [0,0,0,0,0,0.272109,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.19683 [0,0,0,0,0,0.260274,0.75,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.17353 [0,0,0,0,0,0.256757,0.645161,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.192279 [0,0,0,0,0,0.258503,0.730159,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.21478 [0,0,0,0,0,0.272109,0.825397,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.231542 [0,0,0,0,0,0.269504,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.207861 [0,0,0,0,0,0.272109,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.217386 [0,0,0,0,0,0.258993,0.84507,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.201251 [0,0,0,0,0,0.262069,0.769231,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.211276 [0,0,0,0,0,0.264901,0.813559,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.224072 [0,0,0,0,0,0.269504,0.869565,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.21478 [0,0,0,0,0,0.272109,0.825397,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.232641 [0,0,0,0,0,0.273973,0.90625,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.216235 [0,0,0,0,0,0.265734,0.835821,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.214963 [0,0,0,0,0,0.255034,0.819672,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.199793 [0,0,0,0,0,0.263889,0.769231,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.214664 [0,0,0,0,0,0.262069,0.830769,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.210415 [0,0,0,0,0,0.27027,0.806452,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.196354 [0,0,0,0,0,0.27027,0.741935,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.186752 [0,0,0,0,0,0.266667,0.7,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.226874 [0,0,0,0,0,0.258503,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.228618 [0,0,0,0,0,0.272109,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.215813 [0,0,0,0,0,0.262069,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.198772 [0,0,0,0,0,0.268456,0.754098,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.209918 [0,0,0,0,0,0.256757,0.819672,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.159773 [0,0,0,0,0,0.410256,0.503817,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.212154 [0,0,0,0,0,0.263889,0.818182,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.205918 [0,0,0,0,0,0.268456,0.786885,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.160796 [0,0,0,0,0,0.329412,0.544,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.219019 [0,0,0,0,0,0.273973,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.222012 [0,0,0,0,0,0.28169,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.197051 [0,0,0,0,0,0.255034,0.754098,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.215813 [0,0,0,0,0,0.262069,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.219019 [0,0,0,0,0,0.273973,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.204808 [0,0,0,0,0,0.25,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.204969 [0,0,0,0,0,0.256757,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.207861 [0,0,0,0,0,0.272109,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.194621 [0,0,0,0,0,0.256757,0.741935,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.203385 [0,0,0,0,0,0.27027,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.220944 [0,0,0,0,0,0.248276,0.875,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.196354 [0,0,0,0,0,0.27027,0.741935,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.227215 [0,0,0,0,0,0.28777,0.873239,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.193981 [0,0,0,0,0,0.243243,0.754098,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.205549 [0,0,0,0,0,0.263889,0.787879,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.193087 [0,0,0,0,0,0.263889,0.738462,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.207861 [0,0,0,0,0,0.272109,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.212686 [0,0,0,0,0,0.255034,0.833333,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.219951 [0,0,0,0,0,0.255034,0.866667,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.220206 [0,0,0,0,0,0.267606,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.204675 [0,0,0,0,0,0.260274,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.199157 [0,0,0,0,0,0.24,0.779661,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.215812 [0,0,0,0,0,0.266667,0.833333,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.212311 [0,0,0,0,0,0.269504,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.211406 [0,0,0,0,0,0.262069,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.203223 [0,0,0,0,0,0.265734,0.776119,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.184481 [0,0,0,0,0,0.268456,0.688525,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.209547 [0,0,0,0,0,0.258503,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.197756 [0,0,0,0,0,0.260274,0.761905,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.205972 [0,0,0,0,0,0.241611,0.786885,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.210584 [0,0,0,0,0,0.255319,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.200219 [0,0,0,0,0,0.258503,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.190837 [0,0,0,0,0,0.260274,0.730159,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.213064 [0,0,0,0,0,0.268456,0.819672,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.211022 [0,0,0,0,0,0.251656,0.827586,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.213064 [0,0,0,0,0,0.268456,0.819672,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.212154 [0,0,0,0,0,0.263889,0.818182,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.199793 [0,0,0,0,0,0.263889,0.769231,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.162893 [0,0,0,0,0,0.415584,0.515152,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.190891 [0,0,0,0,0,0.255034,0.733333,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.1937 [0,0,0,0,0,0.248276,0.75,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.204675 [0,0,0,0,0,0.260274,0.793651,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.154749 [0,0,0,0,0,0.313253,0.519685,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.23104 [0,0,0,0,0,0.27972,0.895522,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.154471 [0,0,0,0,0,0.325,0.527132,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.203385 [0,0,0,0,0,0.27027,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.201652 [0,0,0,0,0,0.256757,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.153363 [0,0,0,0,0,0.285714,0.544,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.218309 [0,0,0,0,0,0.262069,0.830769,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.217291 [0,0,0,0,0,0.265734,0.848485,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.169576
kappa
0.155585
kappa
0.178633
kappa
0.1679
kappa
0.167286
kappa
0.1679
kappa
0.173729
kappa
0.1679
kappa
0.195178
kappa
0.199309
kappa
0.193272
kappa
0.161532
kappa
0.153022
kappa
0.145452
kappa
0.18124
kappa
0.2027
kappa
0.162657
kappa
0.154045
kappa
0.140228
kappa
0.148847
kappa
0.174841
kappa
0.182893
kappa
0.152337
kappa
0.123511
kappa
0.145411
kappa
0.175396
kappa
0.207363
kappa
0.1679
kappa
0.186008
kappa
0.159272
kappa
0.162657
kappa
0.194635
kappa
0.175396
kappa
0.197346
kappa
0.180688
kappa
0.166253
kappa
0.164299
kappa
0.174285
kappa
0.168459
kappa
0.153477
kappa
0.139651
kappa
0.182893
kappa
0.190389
kappa
0.179811
kappa
0.154045
kappa
0.166691
kappa
0.161922
kappa
0.173729
kappa
0.161532
kappa
0.15515
kappa
0.182343
kappa
0.195178
kappa
0.146559
kappa
0.179811
kappa
0.182343
kappa
0.164299
kappa
0.158166
kappa
0.1679
kappa
0.145985
kappa
0.160968
kappa
0.179811
kappa
0.153477
kappa
0.208619
kappa
0.14437
kappa
0.166217
kappa
0.156837
kappa
0.1679
kappa
0.167286
kappa
0.174721
kappa
0.187657
kappa
0.165496
kappa
0.145592
kappa
0.169576
kappa
0.18493
kappa
0.171166
kappa
0.165655
kappa
0.139073
kappa
0.164978
kappa
0.158046
kappa
0.151365
kappa
0.177452
kappa
0.158648
kappa
0.150595
kappa
0.169018
kappa
0.161051
kappa
0.169018
kappa
0.173729
kappa
0.164299
kappa
0.169129
kappa
0.144981
kappa
0.149986
kappa
0.165496
kappa
0.137688
kappa
0.203238
kappa
0.147541
kappa
0.160968
kappa
0.153477
kappa
0.1423
kappa
0.178633
kappa
0.1861
kb_relative_information_score
20.920259
kb_relative_information_score
19.9944
kb_relative_information_score
21.82996
kb_relative_information_score
20.808067
kb_relative_information_score
20.808247
kb_relative_information_score
20.764564
kb_relative_information_score
21.76812
kb_relative_information_score
20.709357
kb_relative_information_score
23.003917
kb_relative_information_score
23.476519
kb_relative_information_score
22.822115
kb_relative_information_score
20.228868
kb_relative_information_score
19.705142
kb_relative_information_score
19.435931
kb_relative_information_score
21.781986
kb_relative_information_score
24.138845
kb_relative_information_score
20.328889
kb_relative_information_score
20.280157
kb_relative_information_score
18.623081
kb_relative_information_score
19.15883
kb_relative_information_score
21.356328
kb_relative_information_score
21.94587
kb_relative_information_score
20.087142
kb_relative_information_score
17.729001
kb_relative_information_score
19.544318
kb_relative_information_score
21.39505
kb_relative_information_score
24.123869
kb_relative_information_score
20.795538
kb_relative_information_score
23.341145
kb_relative_information_score
20.559817
kb_relative_information_score
20.211976
kb_relative_information_score
23.460177
kb_relative_information_score
21.312995
kb_relative_information_score
23.154547
kb_relative_information_score
22.387503
kb_relative_information_score
20.793454
kb_relative_information_score
20.592452
kb_relative_information_score
21.758584
kb_relative_information_score
20.74113
kb_relative_information_score
19.554995
kb_relative_information_score
18.387013
kb_relative_information_score
22.478356
kb_relative_information_score
22.521826
kb_relative_information_score
21.913557
kb_relative_information_score
19.670159
kb_relative_information_score
20.741756
kb_relative_information_score
20.862679
kb_relative_information_score
21.65086
kb_relative_information_score
20.201977
kb_relative_information_score
19.860851
kb_relative_information_score
21.869412
kb_relative_information_score
22.968432
kb_relative_information_score
19.613172
kb_relative_information_score
21.899551
kb_relative_information_score
21.963545
kb_relative_information_score
21.279976
kb_relative_information_score
20.111482
kb_relative_information_score
20.792959
kb_relative_information_score
19.540787
kb_relative_information_score
20.181394
kb_relative_information_score
22.41788
kb_relative_information_score
19.488807
kb_relative_information_score
24.009238
kb_relative_information_score
19.580901
kb_relative_information_score
21.040844
kb_relative_information_score
19.878909
kb_relative_information_score
20.75004
kb_relative_information_score
20.857792
kb_relative_information_score
21.335981
kb_relative_information_score
22.930153
kb_relative_information_score
20.813377
kb_relative_information_score
19.65591
kb_relative_information_score
20.801613
kb_relative_information_score
22.341174
kb_relative_information_score
21.181868
kb_relative_information_score
21.062028
kb_relative_information_score
18.449562
kb_relative_information_score
20.631562
kb_relative_information_score
19.936223
kb_relative_information_score
20.08083
kb_relative_information_score
22.328874
kb_relative_information_score
20.175294
kb_relative_information_score
19.424631
kb_relative_information_score
20.690518
kb_relative_information_score
20.24598
kb_relative_information_score
20.83289
kb_relative_information_score
21.709865
kb_relative_information_score
20.695249
kb_relative_information_score
20.752382
kb_relative_information_score
19.063798
kb_relative_information_score
20.034757
kb_relative_information_score
20.689448
kb_relative_information_score
20.259501
kb_relative_information_score
23.517693
kb_relative_information_score
20.821985
kb_relative_information_score
20.190847
kb_relative_information_score
20.162068
kb_relative_information_score
20.498658
kb_relative_information_score
21.848749
kb_relative_information_score
22.496187
mean_absolute_error
0.079351
mean_absolute_error
0.079766
mean_absolute_error
0.078305
mean_absolute_error
0.079229
mean_absolute_error
0.079453
mean_absolute_error
0.079309
mean_absolute_error
0.07833
mean_absolute_error
0.079317
mean_absolute_error
0.077165
mean_absolute_error
0.076814
mean_absolute_error
0.077277
mean_absolute_error
0.079775
mean_absolute_error
0.080376
mean_absolute_error
0.080347
mean_absolute_error
0.078338
mean_absolute_error
0.076323
mean_absolute_error
0.079862
mean_absolute_error
0.079802
mean_absolute_error
0.081269
mean_absolute_error
0.08083
mean_absolute_error
0.078727
mean_absolute_error
0.07836
mean_absolute_error
0.079778
mean_absolute_error
0.081822
mean_absolute_error
0.08029
mean_absolute_error
0.078819
mean_absolute_error
0.076378
mean_absolute_error
0.079215
mean_absolute_error
0.076842
mean_absolute_error
0.079348
mean_absolute_error
0.079841
mean_absolute_error
0.076846
mean_absolute_error
0.078819
mean_absolute_error
0.07732
mean_absolute_error
0.077778
mean_absolute_error
0.079396
mean_absolute_error
0.079411
mean_absolute_error
0.078393
mean_absolute_error
0.079322
mean_absolute_error
0.0803
mean_absolute_error
0.081352
mean_absolute_error
0.077906
mean_absolute_error
0.077836
mean_absolute_error
0.078333
mean_absolute_error
0.080265
mean_absolute_error
0.079417
mean_absolute_error
0.085265
mean_absolute_error
0.078398
mean_absolute_error
0.079791
mean_absolute_error
0.085465
mean_absolute_error
0.07833
mean_absolute_error
0.077272
mean_absolute_error
0.080337
mean_absolute_error
0.078374
mean_absolute_error
0.07827
mean_absolute_error
0.078821
mean_absolute_error
0.079847
mean_absolute_error
0.07931
mean_absolute_error
0.080313
mean_absolute_error
0.07975
mean_absolute_error
0.077945
mean_absolute_error
0.080306
mean_absolute_error
0.076264
mean_absolute_error
0.080406
mean_absolute_error
0.07888
mean_absolute_error
0.079882
mean_absolute_error
0.079288
mean_absolute_error
0.079395
mean_absolute_error
0.079034
mean_absolute_error
0.077303
mean_absolute_error
0.079345
mean_absolute_error
0.080422
mean_absolute_error
0.079399
mean_absolute_error
0.077829
mean_absolute_error
0.078854
mean_absolute_error
0.078841
mean_absolute_error
0.081302
mean_absolute_error
0.079423
mean_absolute_error
0.080042
mean_absolute_error
0.07999
mean_absolute_error
0.077835
mean_absolute_error
0.07987
mean_absolute_error
0.08042
mean_absolute_error
0.079489
mean_absolute_error
0.079964
mean_absolute_error
0.079318
mean_absolute_error
0.078301
mean_absolute_error
0.079298
mean_absolute_error
0.085392
mean_absolute_error
0.080938
mean_absolute_error
0.079908
mean_absolute_error
0.079417
mean_absolute_error
0.085662
mean_absolute_error
0.076879
mean_absolute_error
0.085563
mean_absolute_error
0.079805
mean_absolute_error
0.079846
mean_absolute_error
0.085541
mean_absolute_error
0.078314
mean_absolute_error
0.077847
mean_prior_absolute_error
0.089926
mean_prior_absolute_error
0.089868
mean_prior_absolute_error
0.089978
mean_prior_absolute_error
0.08988
mean_prior_absolute_error
0.08997
mean_prior_absolute_error
0.089927
mean_prior_absolute_error
0.08991
mean_prior_absolute_error
0.089884
mean_prior_absolute_error
0.089853
mean_prior_absolute_error
0.089954
mean_prior_absolute_error
0.089807
mean_prior_absolute_error
0.089902
mean_prior_absolute_error
0.08994
mean_prior_absolute_error
0.089763
mean_prior_absolute_error
0.089901
mean_prior_absolute_error
0.0899
mean_prior_absolute_error
0.089929
mean_prior_absolute_error
0.089877
mean_prior_absolute_error
0.089885
mean_prior_absolute_error
0.089898
mean_prior_absolute_error
0.089907
mean_prior_absolute_error
0.089926
mean_prior_absolute_error
0.089897
mean_prior_absolute_error
0.089875
mean_prior_absolute_error
0.089901
mean_prior_absolute_error
0.089918
mean_prior_absolute_error
0.08997
mean_prior_absolute_error
0.089869
mean_prior_absolute_error
0.089885
mean_prior_absolute_error
0.089906
mean_prior_absolute_error
0.089892
mean_prior_absolute_error
0.089935
mean_prior_absolute_error
0.089897
mean_prior_absolute_error
0.089875
mean_prior_absolute_error
0.089866
mean_prior_absolute_error
0.08986
mean_prior_absolute_error
0.08997
mean_prior_absolute_error
0.089927
mean_prior_absolute_error
0.089894
mean_prior_absolute_error
0.089875
mean_prior_absolute_error
0.089914
mean_prior_absolute_error
0.089907
mean_prior_absolute_error
0.089905
mean_prior_absolute_error
0.089933
mean_prior_absolute_error
0.089881
mean_prior_absolute_error
0.089986
mean_prior_absolute_error
0.08997
mean_prior_absolute_error
0.089927
mean_prior_absolute_error
0.089896
mean_prior_absolute_error
0.089899
mean_prior_absolute_error
0.089913
mean_prior_absolute_error
0.089894
mean_prior_absolute_error
0.089909
mean_prior_absolute_error
0.089927
mean_prior_absolute_error
0.089881
mean_prior_absolute_error
0.089966
mean_prior_absolute_error
0.089859
mean_prior_absolute_error
0.089931
mean_prior_absolute_error
0.089879
mean_prior_absolute_error
0.089889
mean_prior_absolute_error
0.089966
mean_prior_absolute_error
0.089892
mean_prior_absolute_error
0.089898
mean_prior_absolute_error
0.08997
mean_prior_absolute_error
0.089953
mean_prior_absolute_error
0.089951
mean_prior_absolute_error
0.089918
mean_prior_absolute_error
0.089964
mean_prior_absolute_error
0.090058
mean_prior_absolute_error
0.089926
mean_prior_absolute_error
0.089974
mean_prior_absolute_error
0.089947
mean_prior_absolute_error
0.089919
mean_prior_absolute_error
0.090013
mean_prior_absolute_error
0.089893
mean_prior_absolute_error
0.089897
mean_prior_absolute_error
0.089918
mean_prior_absolute_error
0.089904
mean_prior_absolute_error
0.090058
mean_prior_absolute_error
0.089867
mean_prior_absolute_error
0.089974
mean_prior_absolute_error
0.089958
mean_prior_absolute_error
0.089984
mean_prior_absolute_error
0.09001
mean_prior_absolute_error
0.089996
mean_prior_absolute_error
0.089897
mean_prior_absolute_error
0.089918
mean_prior_absolute_error
0.089994
mean_prior_absolute_error
0.089996
mean_prior_absolute_error
0.090015
mean_prior_absolute_error
0.089968
mean_prior_absolute_error
0.090013
mean_prior_absolute_error
0.089914
mean_prior_absolute_error
0.089994
mean_prior_absolute_error
0.090001
mean_prior_absolute_error
0.089938
mean_prior_absolute_error
0.089879
mean_prior_absolute_error
0.089963
mean_prior_absolute_error
0.089838
mean_prior_absolute_error
0.090012
number_of_instances
156 [1,7,4,5,1,20,34,5,1,1,10,4,16,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,35,4,2,1,9,4,16,6,10,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,0,19,34,5,2,1,9,4,16,7,10,10,1,3,13,3]
number_of_instances
156 [2,8,4,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,3]
number_of_instances
156 [2,7,3,5,1,19,34,5,1,1,10,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,5,1,1,9,4,16,7,9,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,0,20,34,4,1,1,9,4,16,7,10,10,1,3,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,3,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,10,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,8,3,6,0,19,34,4,2,1,9,4,17,6,9,10,2,4,13,4]
number_of_instances
156 [1,8,4,5,0,20,35,4,2,1,9,4,16,7,9,10,1,3,13,4]
number_of_instances
156 [1,8,3,5,1,20,34,4,2,1,10,4,17,6,9,9,1,4,13,4]
number_of_instances
156 [1,8,3,5,0,19,34,4,2,2,10,4,17,6,9,10,1,4,13,4]
number_of_instances
156 [2,8,3,5,0,20,35,4,1,2,9,4,17,7,9,10,1,3,13,3]
number_of_instances
156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,7,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,0,20,34,5,1,1,9,4,16,7,9,10,1,3,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,2,9,4,17,6,9,10,2,3,13,4]
number_of_instances
156 [1,8,4,5,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,7,4,6,0,20,34,4,2,1,9,4,17,7,9,9,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,8,3,6,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3]
number_of_instances
156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,10,9,2,3,13,4]
number_of_instances
156 [1,7,4,6,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4]
number_of_instances
156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,4,13,3]
number_of_instances
156 [2,7,4,6,0,19,35,4,2,1,9,4,17,7,9,9,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3]
number_of_instances
156 [2,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3]
number_of_instances
156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,3,13,3]
number_of_instances
156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,2,4,13,4]
number_of_instances
156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3]
number_of_instances
156 [1,7,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4]
number_of_instances
156 [1,8,3,6,0,19,34,4,2,1,9,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [1,7,4,6,1,19,34,4,2,1,10,4,17,6,9,9,2,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,20,34,5,1,2,9,4,17,6,9,10,1,3,13,4]
number_of_instances
156 [2,8,4,5,0,20,34,4,1,2,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4]
number_of_instances
156 [1,7,3,6,1,20,34,5,2,1,9,4,17,7,9,10,1,3,13,3]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,1,4,13,4]
number_of_instances
156 [1,7,3,6,0,19,34,4,2,1,10,4,17,7,9,10,1,4,13,4]
number_of_instances
156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [1,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,7,3,6,1,19,35,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3]
number_of_instances
156 [2,8,3,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,4]
number_of_instances
156 [2,8,3,5,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [2,7,3,6,0,20,34,5,1,1,9,4,17,7,9,10,2,3,13,3]
number_of_instances
156 [2,7,3,6,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,9,4,17,6,9,10,1,4,13,4]
number_of_instances
156 [2,8,3,6,0,20,34,4,2,2,9,4,16,6,9,10,1,3,13,4]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,1,9,4,17,6,10,10,2,4,13,3]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,7,3,5,1,19,34,5,2,1,10,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,5,1,1,9,4,17,7,9,10,2,4,13,3]
number_of_instances
156 [2,7,3,6,1,20,34,5,1,1,9,4,17,7,9,9,1,4,13,3]
number_of_instances
156 [2,7,3,6,1,19,34,5,2,1,9,4,17,6,9,9,2,4,13,3]
number_of_instances
156 [2,8,3,6,0,19,35,4,2,1,9,4,16,6,9,10,2,3,13,4]
number_of_instances
156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3]
number_of_instances
156 [1,8,3,5,1,19,35,4,2,1,9,4,16,6,9,10,2,4,13,4]
number_of_instances
156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,5,1,19,35,5,2,1,9,4,17,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,4,2,1,9,4,17,7,9,10,2,4,13,3]
number_of_instances
156 [2,8,4,5,1,19,34,5,2,1,9,4,17,7,9,9,1,3,13,3]
number_of_instances
156 [2,7,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,4,13,3]
number_of_instances
156 [2,8,3,5,1,19,34,4,2,1,9,4,17,7,9,9,2,3,13,4]
number_of_instances
156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,20,34,4,2,2,9,4,17,6,9,10,1,4,13,3]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,1,9,4,16,7,10,10,2,3,13,4]
number_of_instances
156 [1,7,3,6,1,19,34,4,2,1,9,4,17,7,9,9,2,4,13,4]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,10,4,16,7,9,9,1,4,13,4]
number_of_instances
156 [2,7,4,5,1,19,34,5,1,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [2,8,3,5,0,19,34,4,2,2,9,4,16,7,9,10,1,4,13,4]
number_of_instances
156 [2,8,4,5,1,19,35,5,2,1,9,4,16,7,9,9,1,3,13,3]
number_of_instances
156 [2,8,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,3,13,3]
number_of_instances
156 [2,7,3,5,1,19,34,5,1,1,9,4,17,7,9,9,2,4,13,4]
number_of_instances
156 [2,8,3,5,0,20,34,5,1,2,9,4,16,7,9,10,1,3,13,4]
number_of_instances
156 [1,8,4,5,1,20,34,4,2,1,10,4,17,6,9,10,1,3,13,3]
number_of_instances
156 [1,8,3,5,1,19,34,4,2,2,9,4,17,7,9,10,1,3,13,4]
number_of_instances
156 [1,7,3,6,1,19,35,4,2,1,9,4,17,7,9,10,1,4,13,3]
number_of_instances
156 [1,7,3,6,1,19,34,5,2,1,9,4,16,7,9,10,1,4,13,4]
precision
0.22929 [0,0,0,0,0,0.153846,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.19221 [0,0,0,0,0,0.152,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.202556 [0,0,0,0,0,0.153226,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.227367 [0,0,0,0,0,0.146154,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.203539 [0,0,0,0,0,0.153226,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.206915 [0,0,0,0,0,0.163934,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.205938 [0,0,0,0,0,0.157025,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.207088 [0,0,0,0,0,0.165289,0.828571,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.213609 [0,0,0,0,0,0.155039,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.218178 [0,0,0,0,0,0.145038,0.92,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.210004 [0,0,0,0,0,0.147287,0.851852,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.204572 [0,0,0,0,0,0.16129,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.218684 [0,0,0,0,0,0.155738,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.228804 [0,0,0,0,0,0.152672,0.96,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.212615 [0,0,0,0,0,0.147287,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.20265 [0,0,0,0,0,0.152672,0.84,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.227752 [0,0,0,0,0,0.150376,0.956522,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.209239 [0,0,0,0,0,0.15873,0.866667,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.223108 [0,0,0,0,0,0.15748,0.931034,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.193691 [0,0,0,0,0,0.150794,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.174708 [0,0,0,0,0,0.148438,0.714286,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.192036 [0,0,0,0,0,0.149606,0.793103,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.215592 [0,0,0,0,0,0.15748,0.896552,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.217686 [0,0,0,0,0,0.155738,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.196108 [0,0,0,0,0,0.151261,0.810811,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.195252 [0,0,0,0,0,0.152,0.806452,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.228804 [0,0,0,0,0,0.152672,0.96,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.206945 [0,0,0,0,0,0.157025,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.215592 [0,0,0,0,0,0.15748,0.896552,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.231034 [0,0,0,0,0,0.15873,0.966667,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.20473 [0,0,0,0,0,0.154472,0.848485,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.233531 [0,0,0,0,0,0.146154,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.194278 [0,0,0,0,0,0.152,0.806452,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.209313 [0,0,0,0,0,0.152,0.870968,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.214629 [0,0,0,0,0,0.15625,0.892857,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.199061 [0,0,0,0,0,0.15625,0.821429,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.195759 [0,0,0,0,0,0.153846,0.807692,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.229614 [0,0,0,0,0,0.149606,0.965517,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.230623 [0,0,0,0,0,0.15748,0.965517,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.21452 [0,0,0,0,0,0.150794,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.205537 [0,0,0,0,0,0.155039,0.851852,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.219743 [0,0,0,0,0,0.147287,0.925926,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.107177 [0,0,0,0,0,0.271186,0.340206,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.203539 [0,0,0,0,0,0.153226,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.213609 [0,0,0,0,0,0.155039,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.109045 [0,0,0,0,0,0.215385,0.373626,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.216504 [0,0,0,0,0,0.15873,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.206915 [0,0,0,0,0,0.163934,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.204543 [0,0,0,0,0,0.147287,0.851852,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.21452 [0,0,0,0,0,0.150794,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.216504 [0,0,0,0,0,0.15873,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.200334 [0,0,0,0,0,0.144,0.83871,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.217369 [0,0,0,0,0,0.147287,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.19806 [0,0,0,0,0,0.148438,0.821429,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.206845 [0,0,0,0,0,0.15625,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.220818 [0,0,0,0,0,0.142857,0.933333,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.199061 [0,0,0,0,0,0.15625,0.821429,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.204153 [0,0,0,0,0,0.168067,0.837838,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.202655 [0,0,0,0,0,0.139535,0.851852,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.196728 [0,0,0,0,0,0.153226,0.8125,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.187247 [0,0,0,0,0,0.152,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.227367 [0,0,0,0,0,0.146154,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.23575 [0,0,0,0,0,0.146154,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.205864 [0,0,0,0,0,0.155738,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.206108 [0,0,0,0,0,0.149606,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.217248 [0,0,0,0,0,0.137405,0.92,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.22929 [0,0,0,0,0,0.153846,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.198455 [0,0,0,0,0,0.155738,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.21281 [0,0,0,0,0,0.150794,0.866667,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.191521 [0,0,0,0,0,0.154472,0.787879,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.189392 [0,0,0,0,0,0.155039,0.777778,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.218399 [0,0,0,0,0,0.148438,0.892857,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.198593 [0,0,0,0,0,0.149606,0.827586,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.223964 [0,0,0,0,0,0.138462,0.923077,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.197457 [0,0,0,0,0,0.147541,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.204892 [0,0,0,0,0,0.148438,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.191077 [0,0,0,0,0,0.149606,0.793103,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.221681 [0,0,0,0,0,0.155039,0.925926,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.23548 [0,0,0,0,0,0.143939,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.221681 [0,0,0,0,0,0.155039,0.925926,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.203539 [0,0,0,0,0,0.153226,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.194278 [0,0,0,0,0,0.152,0.806452,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.109213 [0,0,0,0,0,0.275862,0.346939,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.202219 [0,0,0,0,0,0.146154,0.846154,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.191758 [0,0,0,0,0,0.142857,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.206108 [0,0,0,0,0,0.149606,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.105216 [0,0,0,0,0,0.203125,0.358696,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.218982 [0,0,0,0,0,0.162602,0.909091,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.103959 [0,0,0,0,0,0.213115,0.357895,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.206845 [0,0,0,0,0,0.15625,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.205844 [0,0,0,0,0,0.148438,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.103917 [0,0,0,0,0,0.184615,0.373626,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.220289 [0,0,0,0,0,0.150794,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.209367 [0,0,0,0,0,0.153226,0.875,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.288462
predictive_accuracy
0.275641
predictive_accuracy
0.294872
predictive_accuracy
0.288462
predictive_accuracy
0.282051
predictive_accuracy
0.288462
predictive_accuracy
0.294872
predictive_accuracy
0.288462
predictive_accuracy
0.314103
predictive_accuracy
0.314103
predictive_accuracy
0.314103
predictive_accuracy
0.282051
predictive_accuracy
0.269231
predictive_accuracy
0.269231
predictive_accuracy
0.301282
predictive_accuracy
0.320513
predictive_accuracy
0.282051
predictive_accuracy
0.275641
predictive_accuracy
0.262821
predictive_accuracy
0.269231
predictive_accuracy
0.294872
predictive_accuracy
0.301282
predictive_accuracy
0.275641
predictive_accuracy
0.25
predictive_accuracy
0.269231
predictive_accuracy
0.294872
predictive_accuracy
0.320513
predictive_accuracy
0.288462
predictive_accuracy
0.307692
predictive_accuracy
0.282051
predictive_accuracy
0.282051
predictive_accuracy
0.314103
predictive_accuracy
0.294872
predictive_accuracy
0.314103
predictive_accuracy
0.301282
predictive_accuracy
0.282051
predictive_accuracy
0.282051
predictive_accuracy
0.294872
predictive_accuracy
0.288462
predictive_accuracy
0.275641
predictive_accuracy
0.262821
predictive_accuracy
0.301282
predictive_accuracy
0.307692
predictive_accuracy
0.294872
predictive_accuracy
0.275641
predictive_accuracy
0.282051
predictive_accuracy
0.314103
predictive_accuracy
0.294872
predictive_accuracy
0.282051
predictive_accuracy
0.307692
predictive_accuracy
0.301282
predictive_accuracy
0.314103
predictive_accuracy
0.269231
predictive_accuracy
0.294872
predictive_accuracy
0.301282
predictive_accuracy
0.282051
predictive_accuracy
0.275641
predictive_accuracy
0.288462
predictive_accuracy
0.269231
predictive_accuracy
0.282051
predictive_accuracy
0.294872
predictive_accuracy
0.275641
predictive_accuracy
0.326923
predictive_accuracy
0.262821
predictive_accuracy
0.288462
predictive_accuracy
0.275641
predictive_accuracy
0.288462
predictive_accuracy
0.282051
predictive_accuracy
0.288462
predictive_accuracy
0.307692
predictive_accuracy
0.282051
predictive_accuracy
0.262821
predictive_accuracy
0.288462
predictive_accuracy
0.301282
predictive_accuracy
0.288462
predictive_accuracy
0.288462
predictive_accuracy
0.262821
predictive_accuracy
0.282051
predictive_accuracy
0.275641
predictive_accuracy
0.269231
predictive_accuracy
0.294872
predictive_accuracy
0.275641
predictive_accuracy
0.269231
predictive_accuracy
0.288462
predictive_accuracy
0.275641
predictive_accuracy
0.288462
predictive_accuracy
0.294872
predictive_accuracy
0.282051
predictive_accuracy
0.320513
predictive_accuracy
0.262821
predictive_accuracy
0.269231
predictive_accuracy
0.282051
predictive_accuracy
0.294872
predictive_accuracy
0.320513
predictive_accuracy
0.301282
predictive_accuracy
0.282051
predictive_accuracy
0.275641
predictive_accuracy
0.294872
predictive_accuracy
0.294872
predictive_accuracy
0.301282
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
prior_entropy
3.738083
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.685714,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,0.95,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.314103 [0,0,0,0,0,1,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.314103 [0,0,0,0,0,1,0.882353,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.314103 [0,0,0,0,0,1,0.828571,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,0.95,0.657143,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.320513 [0,0,0,0,0,0.95,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,0.95,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.262821 [0,0,0,0,0,1,0.617647,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,1,0.647059,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,1,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,0.95,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.25 [0,0,0,0,0,0.95,0.588235,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,0.95,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,1,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.320513 [0,0,0,0,0,1,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.307692 [0,0,0,0,0,0.9,0.882353,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,0.95,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.314103 [0,0,0,0,0,0.95,0.882353,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,1,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.314103 [0,0,0,0,0,1,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,0.95,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.714286,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,0.95,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.262821 [0,0,0,0,0,1,0.617647,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,0.95,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.307692 [0,0,0,0,0,1,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.314103 [0,0,0,0,0,0.842105,0.970588,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,0.95,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.307692 [0,0,0,0,0,0.7,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.314103 [0,0,0,0,0,1,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,0.95,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,0.947368,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.685714,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,0.95,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,0.947368,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.326923 [0,0,0,0,0,1,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.262821 [0,0,0,0,0,0.947368,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,0.95,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.307692 [0,0,0,0,0,0.95,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.262821 [0,0,0,0,0,0.947368,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,1,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.742857,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,0.95,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.262821 [0,0,0,0,0,1,0.617647,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.714286,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,0.947368,0.685714,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,0.947368,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,0.95,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.320513 [0,0,0,0,0,0.842105,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.262821 [0,0,0,0,0,1,0.647059,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.269231 [0,0,0,0,0,0.947368,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,0.684211,0.942857,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.320513 [0,0,0,0,0,1,0.882353,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,0.684211,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.275641 [0,0,0,0,0,0.95,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,0.631579,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.294872 [0,0,0,0,0,1,0.771429,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.301282 [0,0,0,0,0,1,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.882411
relative_absolute_error
0.887586
relative_absolute_error
0.870263
relative_absolute_error
0.881504
relative_absolute_error
0.883114
relative_absolute_error
0.88193
relative_absolute_error
0.871212
relative_absolute_error
0.882437
relative_absolute_error
0.858793
relative_absolute_error
0.853929
relative_absolute_error
0.860479
relative_absolute_error
0.88735
relative_absolute_error
0.893663
relative_absolute_error
0.895096
relative_absolute_error
0.871383
relative_absolute_error
0.848976
relative_absolute_error
0.888056
relative_absolute_error
0.887905
relative_absolute_error
0.904141
relative_absolute_error
0.899135
relative_absolute_error
0.875653
relative_absolute_error
0.87138
relative_absolute_error
0.88744
relative_absolute_error
0.910394
relative_absolute_error
0.8931
relative_absolute_error
0.876556
relative_absolute_error
0.848927
relative_absolute_error
0.881454
relative_absolute_error
0.854893
relative_absolute_error
0.88256
relative_absolute_error
0.888183
relative_absolute_error
0.854463
relative_absolute_error
0.876772
relative_absolute_error
0.860298
relative_absolute_error
0.865495
relative_absolute_error
0.883553
relative_absolute_error
0.882637
relative_absolute_error
0.87174
relative_absolute_error
0.882397
relative_absolute_error
0.893472
relative_absolute_error
0.904776
relative_absolute_error
0.866525
relative_absolute_error
0.865749
relative_absolute_error
0.871012
relative_absolute_error
0.893016
relative_absolute_error
0.882551
relative_absolute_error
0.947703
relative_absolute_error
0.871797
relative_absolute_error
0.887599
relative_absolute_error
0.950676
relative_absolute_error
0.871176
relative_absolute_error
0.859593
relative_absolute_error
0.893541
relative_absolute_error
0.871531
relative_absolute_error
0.870818
relative_absolute_error
0.876113
relative_absolute_error
0.888588
relative_absolute_error
0.881902
relative_absolute_error
0.893569
relative_absolute_error
0.887211
relative_absolute_error
0.866393
relative_absolute_error
0.893366
relative_absolute_error
0.848347
relative_absolute_error
0.893697
relative_absolute_error
0.876906
relative_absolute_error
0.888063
relative_absolute_error
0.881783
relative_absolute_error
0.882519
relative_absolute_error
0.877584
relative_absolute_error
0.859636
relative_absolute_error
0.88187
relative_absolute_error
0.894101
relative_absolute_error
0.883004
relative_absolute_error
0.86465
relative_absolute_error
0.877195
relative_absolute_error
0.877016
relative_absolute_error
0.904188
relative_absolute_error
0.883423
relative_absolute_error
0.888781
relative_absolute_error
0.890092
relative_absolute_error
0.865088
relative_absolute_error
0.887861
relative_absolute_error
0.89371
relative_absolute_error
0.883111
relative_absolute_error
0.888529
relative_absolute_error
0.882322
relative_absolute_error
0.8708
relative_absolute_error
0.881153
relative_absolute_error
0.948837
relative_absolute_error
0.899168
relative_absolute_error
0.888178
relative_absolute_error
0.88229
relative_absolute_error
0.95271
relative_absolute_error
0.854267
relative_absolute_error
0.950687
relative_absolute_error
0.887341
relative_absolute_error
0.888377
relative_absolute_error
0.950838
relative_absolute_error
0.871727
relative_absolute_error
0.864854
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211835
root_mean_prior_squared_error
0.212094
root_mean_prior_squared_error
0.211863
root_mean_prior_squared_error
0.212074
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211932
root_mean_prior_squared_error
0.211873
root_mean_prior_squared_error
0.211798
root_mean_prior_squared_error
0.212038
root_mean_prior_squared_error
0.21169
root_mean_prior_squared_error
0.211915
root_mean_prior_squared_error
0.212004
root_mean_prior_squared_error
0.211587
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.21191
root_mean_prior_squared_error
0.211977
root_mean_prior_squared_error
0.211855
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.211927
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211837
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211925
root_mean_prior_squared_error
0.211891
root_mean_prior_squared_error
0.211992
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211829
root_mean_prior_squared_error
0.211815
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.21185
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.211926
root_mean_prior_squared_error
0.211923
root_mean_prior_squared_error
0.211988
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212113
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.2119
root_mean_prior_squared_error
0.211909
root_mean_prior_squared_error
0.211941
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.211931
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212066
root_mean_prior_squared_error
0.211813
root_mean_prior_squared_error
0.211983
root_mean_prior_squared_error
0.211861
root_mean_prior_squared_error
0.211884
root_mean_prior_squared_error
0.212065
root_mean_prior_squared_error
0.21189
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.212034
root_mean_prior_squared_error
0.212031
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.212062
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212021
root_mean_prior_squared_error
0.211955
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211893
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.211919
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211832
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212046
root_mean_prior_squared_error
0.212109
root_mean_prior_squared_error
0.212169
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.21218
root_mean_prior_squared_error
0.21207
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212149
root_mean_prior_squared_error
0.211999
root_mean_prior_squared_error
0.21186
root_mean_prior_squared_error
0.21206
root_mean_prior_squared_error
0.211763
root_mean_prior_squared_error
0.212175
root_mean_squared_error
0.197425
root_mean_squared_error
0.201969
root_mean_squared_error
0.198534
root_mean_squared_error
0.199086
root_mean_squared_error
0.197717
root_mean_squared_error
0.19931
root_mean_squared_error
0.198606
root_mean_squared_error
0.199333
root_mean_squared_error
0.19667
root_mean_squared_error
0.196357
root_mean_squared_error
0.197715
root_mean_squared_error
0.199266
root_mean_squared_error
0.199628
root_mean_squared_error
0.200859
root_mean_squared_error
0.198626
root_mean_squared_error
0.194185
root_mean_squared_error
0.198201
root_mean_squared_error
0.199344
root_mean_squared_error
0.202068
root_mean_squared_error
0.199589
root_mean_squared_error
0.198349
root_mean_squared_error
0.196617
root_mean_squared_error
0.20131
root_mean_squared_error
0.205567
root_mean_squared_error
0.202049
root_mean_squared_error
0.197924
root_mean_squared_error
0.194344
root_mean_squared_error
0.199044
root_mean_squared_error
0.197907
root_mean_squared_error
0.200796
root_mean_squared_error
0.198141
root_mean_squared_error
0.196447
root_mean_squared_error
0.197925
root_mean_squared_error
0.194302
root_mean_squared_error
0.19773
root_mean_squared_error
0.197553
root_mean_squared_error
0.200972
root_mean_squared_error
0.198086
root_mean_squared_error
0.198669
root_mean_squared_error
0.2014
root_mean_squared_error
0.202956
root_mean_squared_error
0.195318
root_mean_squared_error
0.195114
root_mean_squared_error
0.197224
root_mean_squared_error
0.20063
root_mean_squared_error
0.198273
root_mean_squared_error
0.20659
root_mean_squared_error
0.198798
root_mean_squared_error
0.199315
root_mean_squared_error
0.206965
root_mean_squared_error
0.197216
root_mean_squared_error
0.196976
root_mean_squared_error
0.200832
root_mean_squared_error
0.197341
root_mean_squared_error
0.197044
root_mean_squared_error
0.199305
root_mean_squared_error
0.199473
root_mean_squared_error
0.199314
root_mean_squared_error
0.201435
root_mean_squared_error
0.199868
root_mean_squared_error
0.196111
root_mean_squared_error
0.201416
root_mean_squared_error
0.196209
root_mean_squared_error
0.201027
root_mean_squared_error
0.200172
root_mean_squared_error
0.202294
root_mean_squared_error
0.19925
root_mean_squared_error
0.197551
root_mean_squared_error
0.19654
root_mean_squared_error
0.197067
root_mean_squared_error
0.199413
root_mean_squared_error
0.199758
root_mean_squared_error
0.197562
root_mean_squared_error
0.198589
root_mean_squared_error
0.198706
root_mean_squared_error
0.200773
root_mean_squared_error
0.203482
root_mean_squared_error
0.198956
root_mean_squared_error
0.20136
root_mean_squared_error
0.199216
root_mean_squared_error
0.198607
root_mean_squared_error
0.200206
root_mean_squared_error
0.202409
root_mean_squared_error
0.198476
root_mean_squared_error
0.19785
root_mean_squared_error
0.197991
root_mean_squared_error
0.198524
root_mean_squared_error
0.200658
root_mean_squared_error
0.206954
root_mean_squared_error
0.201831
root_mean_squared_error
0.201672
root_mean_squared_error
0.199615
root_mean_squared_error
0.207527
root_mean_squared_error
0.195105
root_mean_squared_error
0.207336
root_mean_squared_error
0.200023
root_mean_squared_error
0.200139
root_mean_squared_error
0.207174
root_mean_squared_error
0.19717
root_mean_squared_error
0.197218
root_relative_squared_error
0.931381
root_relative_squared_error
0.953428
root_relative_squared_error
0.936066
root_relative_squared_error
0.939692
root_relative_squared_error
0.932302
root_relative_squared_error
0.940261
root_relative_squared_error
0.937122
root_relative_squared_error
0.940815
root_relative_squared_error
0.928574
root_relative_squared_error
0.926047
root_relative_squared_error
0.933983
root_relative_squared_error
0.940312
root_relative_squared_error
0.941623
root_relative_squared_error
0.949299
root_relative_squared_error
0.937308
root_relative_squared_error
0.916356
root_relative_squared_error
0.935008
root_relative_squared_error
0.940948
root_relative_squared_error
0.953719
root_relative_squared_error
0.94188
root_relative_squared_error
0.935934
root_relative_squared_error
0.927567
root_relative_squared_error
0.950017
root_relative_squared_error
0.970331
root_relative_squared_error
0.953461
root_relative_squared_error
0.933809
root_relative_squared_error
0.916389
root_relative_squared_error
0.939612
root_relative_squared_error
0.934077
root_relative_squared_error
0.947488
root_relative_squared_error
0.935105
root_relative_squared_error
0.926674
root_relative_squared_error
0.93404
root_relative_squared_error
0.917159
root_relative_squared_error
0.933442
root_relative_squared_error
0.932667
root_relative_squared_error
0.947642
root_relative_squared_error
0.934482
root_relative_squared_error
0.937583
root_relative_squared_error
0.950671
root_relative_squared_error
0.957596
root_relative_squared_error
0.921633
root_relative_squared_error
0.920682
root_relative_squared_error
0.930352
root_relative_squared_error
0.946974
root_relative_squared_error
0.93475
root_relative_squared_error
0.974133
root_relative_squared_error
0.937843
root_relative_squared_error
0.94061
root_relative_squared_error
0.976673
root_relative_squared_error
0.930524
root_relative_squared_error
0.929592
root_relative_squared_error
0.947633
root_relative_squared_error
0.930971
root_relative_squared_error
0.930046
root_relative_squared_error
0.939824
root_relative_squared_error
0.941743
root_relative_squared_error
0.940235
root_relative_squared_error
0.950791
root_relative_squared_error
0.943294
root_relative_squared_error
0.92477
root_relative_squared_error
0.950569
root_relative_squared_error
0.925931
root_relative_squared_error
0.947899
root_relative_squared_error
0.944058
root_relative_squared_error
0.954077
root_relative_squared_error
0.940071
root_relative_squared_error
0.931574
root_relative_squared_error
0.925842
root_relative_squared_error
0.92969
root_relative_squared_error
0.940252
root_relative_squared_error
0.942158
root_relative_squared_error
0.932094
root_relative_squared_error
0.935967
root_relative_squared_error
0.937767
root_relative_squared_error
0.947475
root_relative_squared_error
0.960042
root_relative_squared_error
0.938829
root_relative_squared_error
0.948549
root_relative_squared_error
0.940442
root_relative_squared_error
0.936452
root_relative_squared_error
0.944163
root_relative_squared_error
0.954272
root_relative_squared_error
0.935462
root_relative_squared_error
0.932654
root_relative_squared_error
0.934348
root_relative_squared_error
0.93664
root_relative_squared_error
0.945912
root_relative_squared_error
0.97557
root_relative_squared_error
0.951225
root_relative_squared_error
0.950968
root_relative_squared_error
0.940801
root_relative_squared_error
0.979166
root_relative_squared_error
0.919736
root_relative_squared_error
0.977315
root_relative_squared_error
0.943511
root_relative_squared_error
0.944678
root_relative_squared_error
0.976962
root_relative_squared_error
0.931088
root_relative_squared_error
0.929508
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
7320
usercpu_time_millis
7220
usercpu_time_millis
7240
usercpu_time_millis
7270
usercpu_time_millis
7240
usercpu_time_millis
7260
usercpu_time_millis
7260
usercpu_time_millis
7260
usercpu_time_millis
7260
usercpu_time_millis
7260
usercpu_time_millis
7270
usercpu_time_millis
7240
usercpu_time_millis
7260
usercpu_time_millis
7260
usercpu_time_millis
7240
usercpu_time_millis
7280
usercpu_time_millis
7250
usercpu_time_millis
7290
usercpu_time_millis
7260
usercpu_time_millis
7290
usercpu_time_millis
7270
usercpu_time_millis
7220
usercpu_time_millis
7240
usercpu_time_millis
7250
usercpu_time_millis
7250
usercpu_time_millis
7270
usercpu_time_millis
7260
usercpu_time_millis
7270
usercpu_time_millis
7300
usercpu_time_millis
7280
usercpu_time_millis
7200
usercpu_time_millis
7220
usercpu_time_millis
7240
usercpu_time_millis
7270
usercpu_time_millis
7270
usercpu_time_millis
7270
usercpu_time_millis
7250
usercpu_time_millis
7260
usercpu_time_millis
7290
usercpu_time_millis
7270
usercpu_time_millis
7240
usercpu_time_millis
7230
usercpu_time_millis
7250
usercpu_time_millis
7250
usercpu_time_millis
7250
usercpu_time_millis
7260
usercpu_time_millis
7230
usercpu_time_millis
7270
usercpu_time_millis
7260
usercpu_time_millis
7280
usercpu_time_millis
7230
usercpu_time_millis
7210
usercpu_time_millis
7250
usercpu_time_millis
7250
usercpu_time_millis
7250
usercpu_time_millis
7250
usercpu_time_millis
7250
usercpu_time_millis
7270
usercpu_time_millis
7270
usercpu_time_millis
7270
usercpu_time_millis
7190
usercpu_time_millis
7240
usercpu_time_millis
7270
usercpu_time_millis
7240
usercpu_time_millis
7280
usercpu_time_millis
7260
usercpu_time_millis
7260
usercpu_time_millis
7260
usercpu_time_millis
7290
usercpu_time_millis
7280
usercpu_time_millis
7210
usercpu_time_millis
7230
usercpu_time_millis
7280
usercpu_time_millis
7240
usercpu_time_millis
7240
usercpu_time_millis
7260
usercpu_time_millis
7270
usercpu_time_millis
7270
usercpu_time_millis
7280
usercpu_time_millis
7270
usercpu_time_millis
7220
usercpu_time_millis
7220
usercpu_time_millis
7270
usercpu_time_millis
7330
usercpu_time_millis
7250
usercpu_time_millis
7280
usercpu_time_millis
7270
usercpu_time_millis
7280
usercpu_time_millis
7280
usercpu_time_millis
7280
usercpu_time_millis
7200
usercpu_time_millis
7230
usercpu_time_millis
7280
usercpu_time_millis
7240
usercpu_time_millis
7250
usercpu_time_millis
7270
usercpu_time_millis
7270
usercpu_time_millis
7280
usercpu_time_millis
7270
usercpu_time_millis
7270
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
7320
usercpu_time_millis_training
7220
usercpu_time_millis_training
7240
usercpu_time_millis_training
7270
usercpu_time_millis_training
7240
usercpu_time_millis_training
7260
usercpu_time_millis_training
7260
usercpu_time_millis_training
7260
usercpu_time_millis_training
7260
usercpu_time_millis_training
7260
usercpu_time_millis_training
7270
usercpu_time_millis_training
7240
usercpu_time_millis_training
7260
usercpu_time_millis_training
7260
usercpu_time_millis_training
7240
usercpu_time_millis_training
7280
usercpu_time_millis_training
7250
usercpu_time_millis_training
7290
usercpu_time_millis_training
7260
usercpu_time_millis_training
7290
usercpu_time_millis_training
7270
usercpu_time_millis_training
7220
usercpu_time_millis_training
7240
usercpu_time_millis_training
7250
usercpu_time_millis_training
7250
usercpu_time_millis_training
7270
usercpu_time_millis_training
7250
usercpu_time_millis_training
7270
usercpu_time_millis_training
7300
usercpu_time_millis_training
7280
usercpu_time_millis_training
7200
usercpu_time_millis_training
7220
usercpu_time_millis_training
7240
usercpu_time_millis_training
7270
usercpu_time_millis_training
7270
usercpu_time_millis_training
7270
usercpu_time_millis_training
7250
usercpu_time_millis_training
7260
usercpu_time_millis_training
7290
usercpu_time_millis_training
7270
usercpu_time_millis_training
7240
usercpu_time_millis_training
7230
usercpu_time_millis_training
7250
usercpu_time_millis_training
7250
usercpu_time_millis_training
7250
usercpu_time_millis_training
7260
usercpu_time_millis_training
7230
usercpu_time_millis_training
7270
usercpu_time_millis_training
7260
usercpu_time_millis_training
7280
usercpu_time_millis_training
7230
usercpu_time_millis_training
7210
usercpu_time_millis_training
7250
usercpu_time_millis_training
7250
usercpu_time_millis_training
7250
usercpu_time_millis_training
7250
usercpu_time_millis_training
7250
usercpu_time_millis_training
7270
usercpu_time_millis_training
7270
usercpu_time_millis_training
7270
usercpu_time_millis_training
7190
usercpu_time_millis_training
7240
usercpu_time_millis_training
7270
usercpu_time_millis_training
7230
usercpu_time_millis_training
7280
usercpu_time_millis_training
7260
usercpu_time_millis_training
7260
usercpu_time_millis_training
7260
usercpu_time_millis_training
7280
usercpu_time_millis_training
7280
usercpu_time_millis_training
7210
usercpu_time_millis_training
7230
usercpu_time_millis_training
7280
usercpu_time_millis_training
7240
usercpu_time_millis_training
7240
usercpu_time_millis_training
7260
usercpu_time_millis_training
7270
usercpu_time_millis_training
7270
usercpu_time_millis_training
7280
usercpu_time_millis_training
7270
usercpu_time_millis_training
7220
usercpu_time_millis_training
7220
usercpu_time_millis_training
7270
usercpu_time_millis_training
7330
usercpu_time_millis_training
7250
usercpu_time_millis_training
7280
usercpu_time_millis_training
7270
usercpu_time_millis_training
7280
usercpu_time_millis_training
7280
usercpu_time_millis_training
7280
usercpu_time_millis_training
7200
usercpu_time_millis_training
7230
usercpu_time_millis_training
7280
usercpu_time_millis_training
7240
usercpu_time_millis_training
7250
usercpu_time_millis_training
7270
usercpu_time_millis_training
7270
usercpu_time_millis_training
7280
usercpu_time_millis_training
7270
usercpu_time_millis_training
7270